<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.9.1"/>
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<title>Doxygen: pcl::cuda::SampleConsensus&lt; Storage &gt; 模板类 参考</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtreedata.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
 <tbody>
 <tr style="height: 56px;">
  <td id="projectalign" style="padding-left: 0.5em;">
   <div id="projectname">Doxygen
   </div>
  </td>
 </tr>
 </tbody>
</table>
</div>
<!-- end header part -->
<!-- 制作者 Doxygen 1.9.1 -->
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
var searchBox = new SearchBox("searchBox", "search",false,'搜索','.html');
/* @license-end */
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(function() {
  initMenu('',true,false,'search.php','搜索');
  $(document).ready(function() { init_search(); });
});
/* @license-end */</script>
<div id="main-nav"></div>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
  <div id="nav-tree">
    <div id="nav-tree-contents">
      <div id="nav-sync" class="sync"></div>
    </div>
  </div>
  <div id="splitbar" style="-moz-user-select:none;" 
       class="ui-resizable-handle">
  </div>
</div>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(document).ready(function(){initNavTree('classpcl_1_1cuda_1_1_sample_consensus.html',''); initResizable(); });
/* @license-end */
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
     onmouseover="return searchBox.OnSearchSelectShow()"
     onmouseout="return searchBox.OnSearchSelectHide()"
     onkeydown="return searchBox.OnSearchSelectKey(event)">
</div>

<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0" 
        name="MSearchResults" id="MSearchResults">
</iframe>
</div>

<div class="header">
  <div class="summary">
<a href="#pub-types">Public 类型</a> &#124;
<a href="#pub-methods">Public 成员函数</a> &#124;
<a href="#pro-attribs">Protected 属性</a> &#124;
<a href="#pri-types">Private 类型</a> &#124;
<a href="#pri-methods">Private 成员函数</a> &#124;
<a href="classpcl_1_1cuda_1_1_sample_consensus-members.html">所有成员列表</a>  </div>
  <div class="headertitle">
<div class="title">pcl::cuda::SampleConsensus&lt; Storage &gt; 模板类 参考<span class="mlabels"><span class="mlabel">abstract</span></span></div>  </div>
</div><!--header-->
<div class="contents">
<div class="dynheader">
类 pcl::cuda::SampleConsensus&lt; Storage &gt; 继承关系图:</div>
<div class="dyncontent">
 <div class="center">
  <img src="classpcl_1_1cuda_1_1_sample_consensus.png" usemap="#pcl::cuda::SampleConsensus_3C_20Storage_20_3E_map" alt=""/>
  <map id="pcl::cuda::SampleConsensus_3C_20Storage_20_3E_map" name="pcl::cuda::SampleConsensus_3C_20Storage_20_3E_map">
<area href="classpcl_1_1cuda_1_1_multi_random_sample_consensus.html" title="RandomSampleConsensus represents an implementation of the RANSAC (RAndom SAmple Consensus) algorithm,..." alt="pcl::cuda::MultiRandomSampleConsensus&lt; Storage &gt;" shape="rect" coords="0,56,312,80"/>
<area href="classpcl_1_1cuda_1_1_random_sample_consensus.html" title="RandomSampleConsensus represents an implementation of the RANSAC (RAndom SAmple Consensus) algorithm,..." alt="pcl::cuda::RandomSampleConsensus&lt; Storage &gt;" shape="rect" coords="322,56,634,80"/>
  </map>
</div></div>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public 类型</h2></td></tr>
<tr class="memitem:a3f7252e1031c4c11cf3cd23826b7aa73"><td class="memItemLeft" align="right" valign="top"><a id="a3f7252e1031c4c11cf3cd23826b7aa73"></a>
typedef Storage&lt; float &gt;::type&#160;</td><td class="memItemRight" valign="bottom"><b>Coefficients</b></td></tr>
<tr class="separator:a3f7252e1031c4c11cf3cd23826b7aa73"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a525b4b54644e068877e66a78f0001645"><td class="memItemLeft" align="right" valign="top"><a id="a525b4b54644e068877e66a78f0001645"></a>
typedef boost::shared_ptr&lt; Coefficients &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>CoefficientsPtr</b></td></tr>
<tr class="separator:a525b4b54644e068877e66a78f0001645"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9e031f8edb12f26054db491161c74397"><td class="memItemLeft" align="right" valign="top"><a id="a9e031f8edb12f26054db491161c74397"></a>
typedef boost::shared_ptr&lt; const Coefficients &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>CoefficientsConstPtr</b></td></tr>
<tr class="separator:a9e031f8edb12f26054db491161c74397"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad8a7a036699b2182ecf64ca765770615"><td class="memItemLeft" align="right" valign="top"><a id="ad8a7a036699b2182ecf64ca765770615"></a>
typedef boost::shared_ptr&lt; <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">SampleConsensus</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>Ptr</b></td></tr>
<tr class="separator:ad8a7a036699b2182ecf64ca765770615"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a75febc515930bb848da444a10a4d26ba"><td class="memItemLeft" align="right" valign="top"><a id="a75febc515930bb848da444a10a4d26ba"></a>
typedef boost::shared_ptr&lt; const <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">SampleConsensus</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>ConstPtr</b></td></tr>
<tr class="separator:a75febc515930bb848da444a10a4d26ba"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public 成员函数</h2></td></tr>
<tr class="memitem:a7bf4c6fd2f22b0c47d3e84991ea052df"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a7bf4c6fd2f22b0c47d3e84991ea052df">SampleConsensus</a> (const SampleConsensusModelPtr &amp;model)</td></tr>
<tr class="memdesc:a7bf4c6fd2f22b0c47d3e84991ea052df"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor for base SAC.  <a href="classpcl_1_1cuda_1_1_sample_consensus.html#a7bf4c6fd2f22b0c47d3e84991ea052df">更多...</a><br /></td></tr>
<tr class="separator:a7bf4c6fd2f22b0c47d3e84991ea052df"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a091bb1e129688f88e261a1dc940eb4a4"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a091bb1e129688f88e261a1dc940eb4a4">SampleConsensus</a> (const SampleConsensusModelPtr &amp;model, float threshold)</td></tr>
<tr class="memdesc:a091bb1e129688f88e261a1dc940eb4a4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor for base SAC.  <a href="classpcl_1_1cuda_1_1_sample_consensus.html#a091bb1e129688f88e261a1dc940eb4a4">更多...</a><br /></td></tr>
<tr class="separator:a091bb1e129688f88e261a1dc940eb4a4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:acbeb087da86ee77a1d32cf9210a0f1e2"><td class="memItemLeft" align="right" valign="top"><a id="acbeb087da86ee77a1d32cf9210a0f1e2"></a>
virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#acbeb087da86ee77a1d32cf9210a0f1e2">~SampleConsensus</a> ()</td></tr>
<tr class="memdesc:acbeb087da86ee77a1d32cf9210a0f1e2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor for base SAC. <br /></td></tr>
<tr class="separator:acbeb087da86ee77a1d32cf9210a0f1e2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a000379c2bf39b238d812ec5a55b281d2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a000379c2bf39b238d812ec5a55b281d2">setDistanceThreshold</a> (float threshold)</td></tr>
<tr class="memdesc:a000379c2bf39b238d812ec5a55b281d2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the distance to model threshold.  <a href="classpcl_1_1cuda_1_1_sample_consensus.html#a000379c2bf39b238d812ec5a55b281d2">更多...</a><br /></td></tr>
<tr class="separator:a000379c2bf39b238d812ec5a55b281d2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aec2105e1e32c118dbfb2bbb3f55b5df8"><td class="memItemLeft" align="right" valign="top"><a id="aec2105e1e32c118dbfb2bbb3f55b5df8"></a>
float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#aec2105e1e32c118dbfb2bbb3f55b5df8">getDistanceThreshold</a> ()</td></tr>
<tr class="memdesc:aec2105e1e32c118dbfb2bbb3f55b5df8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the distance to model threshold, as set by the user. <br /></td></tr>
<tr class="separator:aec2105e1e32c118dbfb2bbb3f55b5df8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa6ec12c07572b64574b6500e6d8a9dcb"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#aa6ec12c07572b64574b6500e6d8a9dcb">setMaxIterations</a> (int max_iterations)</td></tr>
<tr class="memdesc:aa6ec12c07572b64574b6500e6d8a9dcb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the maximum number of iterations.  <a href="classpcl_1_1cuda_1_1_sample_consensus.html#aa6ec12c07572b64574b6500e6d8a9dcb">更多...</a><br /></td></tr>
<tr class="separator:aa6ec12c07572b64574b6500e6d8a9dcb"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3d395cce84129159371a366b437b812a"><td class="memItemLeft" align="right" valign="top"><a id="a3d395cce84129159371a366b437b812a"></a>
int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a3d395cce84129159371a366b437b812a">getMaxIterations</a> ()</td></tr>
<tr class="memdesc:a3d395cce84129159371a366b437b812a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the maximum number of iterations, as set by the user. <br /></td></tr>
<tr class="separator:a3d395cce84129159371a366b437b812a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae97e118b7ca3ab88bf0680f718f28366"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#ae97e118b7ca3ab88bf0680f718f28366">setProbability</a> (float probability)</td></tr>
<tr class="memdesc:ae97e118b7ca3ab88bf0680f718f28366"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the desired probability of choosing at least one sample free from outliers.  <a href="classpcl_1_1cuda_1_1_sample_consensus.html#ae97e118b7ca3ab88bf0680f718f28366">更多...</a><br /></td></tr>
<tr class="separator:ae97e118b7ca3ab88bf0680f718f28366"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad4f5d9a11015deaa4042093cfc9bce3e"><td class="memItemLeft" align="right" valign="top"><a id="ad4f5d9a11015deaa4042093cfc9bce3e"></a>
float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#ad4f5d9a11015deaa4042093cfc9bce3e">getProbability</a> ()</td></tr>
<tr class="memdesc:ad4f5d9a11015deaa4042093cfc9bce3e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Obtain the probability of choosing at least one sample free from outliers, as set by the user. <br /></td></tr>
<tr class="separator:ad4f5d9a11015deaa4042093cfc9bce3e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9fcca984265ea67226bf94ef1537a173"><td class="memItemLeft" align="right" valign="top"><a id="a9fcca984265ea67226bf94ef1537a173"></a>
virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a9fcca984265ea67226bf94ef1537a173">computeModel</a> (int debug_verbosity_level=0)=0</td></tr>
<tr class="memdesc:a9fcca984265ea67226bf94ef1537a173"><td class="mdescLeft">&#160;</td><td class="mdescRight">Compute the actual model. Pure virtual. <br /></td></tr>
<tr class="separator:a9fcca984265ea67226bf94ef1537a173"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a541c7a0083c37b6fab5f65aa98339955"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a541c7a0083c37b6fab5f65aa98339955">getModel</a> (Indices &amp;model)</td></tr>
<tr class="memdesc:a541c7a0083c37b6fab5f65aa98339955"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the best model found so far.  <a href="classpcl_1_1cuda_1_1_sample_consensus.html#a541c7a0083c37b6fab5f65aa98339955">更多...</a><br /></td></tr>
<tr class="separator:a541c7a0083c37b6fab5f65aa98339955"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2b71a061a291e1100eb9249e8e3a427f"><td class="memItemLeft" align="right" valign="top"><a id="a2b71a061a291e1100eb9249e8e3a427f"></a>
IndicesPtr&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a2b71a061a291e1100eb9249e8e3a427f">getInliers</a> ()</td></tr>
<tr class="memdesc:a2b71a061a291e1100eb9249e8e3a427f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the best set of inliers found so far for this model. <br /></td></tr>
<tr class="separator:a2b71a061a291e1100eb9249e8e3a427f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a28f6a7dc8587b898b2c891e776d9f266"><td class="memItemLeft" align="right" valign="top"><a id="a28f6a7dc8587b898b2c891e776d9f266"></a>
IndicesPtr&#160;</td><td class="memItemRight" valign="bottom"><b>getInliersStencil</b> ()</td></tr>
<tr class="separator:a28f6a7dc8587b898b2c891e776d9f266"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5bfd868069777fe9582b63fd48c28b5f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a5bfd868069777fe9582b63fd48c28b5f">getModelCoefficients</a> (Coefficients &amp;model_coefficients)</td></tr>
<tr class="memdesc:a5bfd868069777fe9582b63fd48c28b5f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the model coefficients of the best model found so far.  <a href="classpcl_1_1cuda_1_1_sample_consensus.html#a5bfd868069777fe9582b63fd48c28b5f">更多...</a><br /></td></tr>
<tr class="separator:a5bfd868069777fe9582b63fd48c28b5f"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-attribs"></a>
Protected 属性</h2></td></tr>
<tr class="memitem:ae2d1f0f11bd8bbac7a6b128cd27b6ced"><td class="memItemLeft" align="right" valign="top"><a id="ae2d1f0f11bd8bbac7a6b128cd27b6ced"></a>
SampleConsensusModelPtr&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#ae2d1f0f11bd8bbac7a6b128cd27b6ced">sac_model_</a></td></tr>
<tr class="memdesc:ae2d1f0f11bd8bbac7a6b128cd27b6ced"><td class="mdescLeft">&#160;</td><td class="mdescRight">The underlying data model used (what is it that we attempt to search for). <br /></td></tr>
<tr class="separator:ae2d1f0f11bd8bbac7a6b128cd27b6ced"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a446259f179f2cef7d929550db5450b2e"><td class="memItemLeft" align="right" valign="top"><a id="a446259f179f2cef7d929550db5450b2e"></a>
Indices&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a446259f179f2cef7d929550db5450b2e">model_</a></td></tr>
<tr class="memdesc:a446259f179f2cef7d929550db5450b2e"><td class="mdescLeft">&#160;</td><td class="mdescRight">The model found after the last computeModel () as point cloud indices. <br /></td></tr>
<tr class="separator:a446259f179f2cef7d929550db5450b2e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a69c386c8a4cf1d31ee5284491b644287"><td class="memItemLeft" align="right" valign="top"><a id="a69c386c8a4cf1d31ee5284491b644287"></a>
IndicesPtr&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a69c386c8a4cf1d31ee5284491b644287">inliers_</a></td></tr>
<tr class="memdesc:a69c386c8a4cf1d31ee5284491b644287"><td class="mdescLeft">&#160;</td><td class="mdescRight">The indices of the points that were chosen as inliers after the last call. <br /></td></tr>
<tr class="separator:a69c386c8a4cf1d31ee5284491b644287"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0a887802cd4d695797df2b65843674ea"><td class="memItemLeft" align="right" valign="top"><a id="a0a887802cd4d695797df2b65843674ea"></a>
IndicesPtr&#160;</td><td class="memItemRight" valign="bottom"><b>inliers_stencil_</b></td></tr>
<tr class="separator:a0a887802cd4d695797df2b65843674ea"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a642fb690c064d7f06c917f3bc713995f"><td class="memItemLeft" align="right" valign="top"><a id="a642fb690c064d7f06c917f3bc713995f"></a>
Coefficients&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a642fb690c064d7f06c917f3bc713995f">model_coefficients_</a></td></tr>
<tr class="memdesc:a642fb690c064d7f06c917f3bc713995f"><td class="mdescLeft">&#160;</td><td class="mdescRight">The coefficients of our model computed directly from the model found. <br /></td></tr>
<tr class="separator:a642fb690c064d7f06c917f3bc713995f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4615fb95aea920a5f167f1db3a9dc2a8"><td class="memItemLeft" align="right" valign="top"><a id="a4615fb95aea920a5f167f1db3a9dc2a8"></a>
float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a4615fb95aea920a5f167f1db3a9dc2a8">probability_</a></td></tr>
<tr class="memdesc:a4615fb95aea920a5f167f1db3a9dc2a8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Desired probability of choosing at least one sample free from outliers. <br /></td></tr>
<tr class="separator:a4615fb95aea920a5f167f1db3a9dc2a8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae525abb9ec82e5e2b0ee473f05ba91fa"><td class="memItemLeft" align="right" valign="top"><a id="ae525abb9ec82e5e2b0ee473f05ba91fa"></a>
int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#ae525abb9ec82e5e2b0ee473f05ba91fa">iterations_</a></td></tr>
<tr class="memdesc:ae525abb9ec82e5e2b0ee473f05ba91fa"><td class="mdescLeft">&#160;</td><td class="mdescRight">Total number of internal loop iterations that we've done so far. <br /></td></tr>
<tr class="separator:ae525abb9ec82e5e2b0ee473f05ba91fa"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a49491a73c6f6e408ee41b55884d2cacd"><td class="memItemLeft" align="right" valign="top"><a id="a49491a73c6f6e408ee41b55884d2cacd"></a>
float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a49491a73c6f6e408ee41b55884d2cacd">threshold_</a></td></tr>
<tr class="memdesc:a49491a73c6f6e408ee41b55884d2cacd"><td class="mdescLeft">&#160;</td><td class="mdescRight">Distance to model threshold. <br /></td></tr>
<tr class="separator:a49491a73c6f6e408ee41b55884d2cacd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a56f971cd1025e8bcaa1c6da13080dca2"><td class="memItemLeft" align="right" valign="top"><a id="a56f971cd1025e8bcaa1c6da13080dca2"></a>
int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a56f971cd1025e8bcaa1c6da13080dca2">max_iterations_</a></td></tr>
<tr class="memdesc:a56f971cd1025e8bcaa1c6da13080dca2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Maximum number of iterations before giving up. <br /></td></tr>
<tr class="separator:a56f971cd1025e8bcaa1c6da13080dca2"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pri-types"></a>
Private 类型</h2></td></tr>
<tr class="memitem:a1724af14307c468ee8031511fa5dddc0"><td class="memItemLeft" align="right" valign="top"><a id="a1724af14307c468ee8031511fa5dddc0"></a>
typedef <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus_model.html">SampleConsensusModel</a>&lt; Storage &gt;::Ptr&#160;</td><td class="memItemRight" valign="bottom"><b>SampleConsensusModelPtr</b></td></tr>
<tr class="separator:a1724af14307c468ee8031511fa5dddc0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adf943cf8248ba7a9a21e478815225ea9"><td class="memItemLeft" align="right" valign="top"><a id="adf943cf8248ba7a9a21e478815225ea9"></a>
typedef <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus_model.html">SampleConsensusModel</a>&lt; Storage &gt;::Hypotheses&#160;</td><td class="memItemRight" valign="bottom"><b>Hypotheses</b></td></tr>
<tr class="separator:adf943cf8248ba7a9a21e478815225ea9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af5e0db6a3a62803092710c99b1958980"><td class="memItemLeft" align="right" valign="top"><a id="af5e0db6a3a62803092710c99b1958980"></a>
typedef <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus_model.html">SampleConsensusModel</a>&lt; Storage &gt;::Indices&#160;</td><td class="memItemRight" valign="bottom"><b>Indices</b></td></tr>
<tr class="separator:af5e0db6a3a62803092710c99b1958980"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af4faab640506d44480343cf7ee4cfdb6"><td class="memItemLeft" align="right" valign="top"><a id="af4faab640506d44480343cf7ee4cfdb6"></a>
typedef <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus_model.html">SampleConsensusModel</a>&lt; Storage &gt;::IndicesPtr&#160;</td><td class="memItemRight" valign="bottom"><b>IndicesPtr</b></td></tr>
<tr class="separator:af4faab640506d44480343cf7ee4cfdb6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa50e50d960997e7652b72d6fe36b05ae"><td class="memItemLeft" align="right" valign="top"><a id="aa50e50d960997e7652b72d6fe36b05ae"></a>
typedef <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus_model.html">SampleConsensusModel</a>&lt; Storage &gt;::IndicesConstPtr&#160;</td><td class="memItemRight" valign="bottom"><b>IndicesConstPtr</b></td></tr>
<tr class="separator:aa50e50d960997e7652b72d6fe36b05ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pri-methods"></a>
Private 成员函数</h2></td></tr>
<tr class="memitem:a10d7b0f25359c002d7dab2913202835a"><td class="memItemLeft" align="right" valign="top"><a id="a10d7b0f25359c002d7dab2913202835a"></a>
&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html#a10d7b0f25359c002d7dab2913202835a">SampleConsensus</a> ()</td></tr>
<tr class="memdesc:a10d7b0f25359c002d7dab2913202835a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor for base SAC. <br /></td></tr>
<tr class="separator:a10d7b0f25359c002d7dab2913202835a"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<h2 class="groupheader">构造及析构函数说明</h2>
<a id="a7bf4c6fd2f22b0c47d3e84991ea052df"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a7bf4c6fd2f22b0c47d3e84991ea052df">&#9670;&nbsp;</a></span>SampleConsensus() <span class="overload">[1/2]</span></h2>

<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;template&lt; typename &gt; class Storage&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">pcl::cuda::SampleConsensus</a>&lt; Storage &gt;::<a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">SampleConsensus</a> </td>
          <td>(</td>
          <td class="paramtype">const SampleConsensusModelPtr &amp;&#160;</td>
          <td class="paramname"><em>model</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p>Constructor for base SAC. </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramname">model</td><td>a Sample Consensus model </td></tr>
  </table>
  </dd>
</dl>
<div class="fragment"><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;                                                               : </div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;          <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#ae2d1f0f11bd8bbac7a6b128cd27b6ced">sac_model_</a>(model), <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#a4615fb95aea920a5f167f1db3a9dc2a8">probability_</a> (0.99), <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#ae525abb9ec82e5e2b0ee473f05ba91fa">iterations_</a> (0), <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#a49491a73c6f6e408ee41b55884d2cacd">threshold_</a> (DBL_MAX), </div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;          <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#a56f971cd1025e8bcaa1c6da13080dca2">max_iterations_</a> (1000)</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        {};</div>
<div class="ttc" id="aclasspcl_1_1cuda_1_1_sample_consensus_html_a4615fb95aea920a5f167f1db3a9dc2a8"><div class="ttname"><a href="classpcl_1_1cuda_1_1_sample_consensus.html#a4615fb95aea920a5f167f1db3a9dc2a8">pcl::cuda::SampleConsensus::probability_</a></div><div class="ttdeci">float probability_</div><div class="ttdoc">Desired probability of choosing at least one sample free from outliers.</div><div class="ttdef"><b>Definition:</b> sac.h:187</div></div>
<div class="ttc" id="aclasspcl_1_1cuda_1_1_sample_consensus_html_a49491a73c6f6e408ee41b55884d2cacd"><div class="ttname"><a href="classpcl_1_1cuda_1_1_sample_consensus.html#a49491a73c6f6e408ee41b55884d2cacd">pcl::cuda::SampleConsensus::threshold_</a></div><div class="ttdeci">float threshold_</div><div class="ttdoc">Distance to model threshold.</div><div class="ttdef"><b>Definition:</b> sac.h:193</div></div>
<div class="ttc" id="aclasspcl_1_1cuda_1_1_sample_consensus_html_a56f971cd1025e8bcaa1c6da13080dca2"><div class="ttname"><a href="classpcl_1_1cuda_1_1_sample_consensus.html#a56f971cd1025e8bcaa1c6da13080dca2">pcl::cuda::SampleConsensus::max_iterations_</a></div><div class="ttdeci">int max_iterations_</div><div class="ttdoc">Maximum number of iterations before giving up.</div><div class="ttdef"><b>Definition:</b> sac.h:196</div></div>
<div class="ttc" id="aclasspcl_1_1cuda_1_1_sample_consensus_html_ae2d1f0f11bd8bbac7a6b128cd27b6ced"><div class="ttname"><a href="classpcl_1_1cuda_1_1_sample_consensus.html#ae2d1f0f11bd8bbac7a6b128cd27b6ced">pcl::cuda::SampleConsensus::sac_model_</a></div><div class="ttdeci">SampleConsensusModelPtr sac_model_</div><div class="ttdoc">The underlying data model used (what is it that we attempt to search for).</div><div class="ttdef"><b>Definition:</b> sac.h:174</div></div>
<div class="ttc" id="aclasspcl_1_1cuda_1_1_sample_consensus_html_ae525abb9ec82e5e2b0ee473f05ba91fa"><div class="ttname"><a href="classpcl_1_1cuda_1_1_sample_consensus.html#ae525abb9ec82e5e2b0ee473f05ba91fa">pcl::cuda::SampleConsensus::iterations_</a></div><div class="ttdeci">int iterations_</div><div class="ttdoc">Total number of internal loop iterations that we've done so far.</div><div class="ttdef"><b>Definition:</b> sac.h:190</div></div>
</div><!-- fragment -->
</div>
</div>
<a id="a091bb1e129688f88e261a1dc940eb4a4"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a091bb1e129688f88e261a1dc940eb4a4">&#9670;&nbsp;</a></span>SampleConsensus() <span class="overload">[2/2]</span></h2>

<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;template&lt; typename &gt; class Storage&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">pcl::cuda::SampleConsensus</a>&lt; Storage &gt;::<a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">SampleConsensus</a> </td>
          <td>(</td>
          <td class="paramtype">const SampleConsensusModelPtr &amp;&#160;</td>
          <td class="paramname"><em>model</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">float&#160;</td>
          <td class="paramname"><em>threshold</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p>Constructor for base SAC. </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramname">model</td><td>a Sample Consensus model </td></tr>
    <tr><td class="paramname">threshold</td><td>distance to model threshold </td></tr>
  </table>
  </dd>
</dl>
<div class="fragment"><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;                                                                                : </div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;          <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#ae2d1f0f11bd8bbac7a6b128cd27b6ced">sac_model_</a>(model), <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#a4615fb95aea920a5f167f1db3a9dc2a8">probability_</a> (0.99), <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#ae525abb9ec82e5e2b0ee473f05ba91fa">iterations_</a> (0), <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#a49491a73c6f6e408ee41b55884d2cacd">threshold_</a> (threshold), </div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;          <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#a56f971cd1025e8bcaa1c6da13080dca2">max_iterations_</a> (1000)</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        {};</div>
</div><!-- fragment -->
</div>
</div>
<h2 class="groupheader">成员函数说明</h2>
<a id="a541c7a0083c37b6fab5f65aa98339955"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a541c7a0083c37b6fab5f65aa98339955">&#9670;&nbsp;</a></span>getModel()</h2>

<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;template&lt; typename &gt; class Storage&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">void <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">pcl::cuda::SampleConsensus</a>&lt; Storage &gt;::getModel </td>
          <td>(</td>
          <td class="paramtype">Indices &amp;&#160;</td>
          <td class="paramname"><em>model</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p>Return the best model found so far. </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramname">model</td><td>the resultant model </td></tr>
  </table>
  </dd>
</dl>
<div class="fragment"><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;{ model = <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#a446259f179f2cef7d929550db5450b2e">model_</a>; }</div>
<div class="ttc" id="aclasspcl_1_1cuda_1_1_sample_consensus_html_a446259f179f2cef7d929550db5450b2e"><div class="ttname"><a href="classpcl_1_1cuda_1_1_sample_consensus.html#a446259f179f2cef7d929550db5450b2e">pcl::cuda::SampleConsensus::model_</a></div><div class="ttdeci">Indices model_</div><div class="ttdoc">The model found after the last computeModel () as point cloud indices.</div><div class="ttdef"><b>Definition:</b> sac.h:177</div></div>
</div><!-- fragment -->
</div>
</div>
<a id="a5bfd868069777fe9582b63fd48c28b5f"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a5bfd868069777fe9582b63fd48c28b5f">&#9670;&nbsp;</a></span>getModelCoefficients()</h2>

<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;template&lt; typename &gt; class Storage&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">void <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">pcl::cuda::SampleConsensus</a>&lt; Storage &gt;::getModelCoefficients </td>
          <td>(</td>
          <td class="paramtype">Coefficients &amp;&#160;</td>
          <td class="paramname"><em>model_coefficients</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p>Return the model coefficients of the best model found so far. </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramname">model_coefficients</td><td>the resultant model coefficients </td></tr>
  </table>
  </dd>
</dl>
<div class="fragment"><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;        { </div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;          model_coefficients = <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#a642fb690c064d7f06c917f3bc713995f">model_coefficients_</a>; </div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;        }</div>
<div class="ttc" id="aclasspcl_1_1cuda_1_1_sample_consensus_html_a642fb690c064d7f06c917f3bc713995f"><div class="ttname"><a href="classpcl_1_1cuda_1_1_sample_consensus.html#a642fb690c064d7f06c917f3bc713995f">pcl::cuda::SampleConsensus::model_coefficients_</a></div><div class="ttdeci">Coefficients model_coefficients_</div><div class="ttdoc">The coefficients of our model computed directly from the model found.</div><div class="ttdef"><b>Definition:</b> sac.h:184</div></div>
</div><!-- fragment -->
</div>
</div>
<a id="a000379c2bf39b238d812ec5a55b281d2"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a000379c2bf39b238d812ec5a55b281d2">&#9670;&nbsp;</a></span>setDistanceThreshold()</h2>

<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;template&lt; typename &gt; class Storage&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">void <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">pcl::cuda::SampleConsensus</a>&lt; Storage &gt;::setDistanceThreshold </td>
          <td>(</td>
          <td class="paramtype">float&#160;</td>
          <td class="paramname"><em>threshold</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p>Set the distance to model threshold. </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramname">threshold</td><td>distance to model threshold </td></tr>
  </table>
  </dd>
</dl>
<div class="fragment"><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;{ <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#a49491a73c6f6e408ee41b55884d2cacd">threshold_</a> = threshold; }</div>
</div><!-- fragment -->
</div>
</div>
<a id="aa6ec12c07572b64574b6500e6d8a9dcb"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aa6ec12c07572b64574b6500e6d8a9dcb">&#9670;&nbsp;</a></span>setMaxIterations()</h2>

<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;template&lt; typename &gt; class Storage&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">void <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">pcl::cuda::SampleConsensus</a>&lt; Storage &gt;::setMaxIterations </td>
          <td>(</td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>max_iterations</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p>Set the maximum number of iterations. </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramname">max_iterations</td><td>maximum number of iterations </td></tr>
  </table>
  </dd>
</dl>
<div class="fragment"><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;{ <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#a56f971cd1025e8bcaa1c6da13080dca2">max_iterations_</a> = max_iterations; }</div>
</div><!-- fragment -->
</div>
</div>
<a id="ae97e118b7ca3ab88bf0680f718f28366"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ae97e118b7ca3ab88bf0680f718f28366">&#9670;&nbsp;</a></span>setProbability()</h2>

<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;template&lt; typename &gt; class Storage&gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">void <a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">pcl::cuda::SampleConsensus</a>&lt; Storage &gt;::setProbability </td>
          <td>(</td>
          <td class="paramtype">float&#160;</td>
          <td class="paramname"><em>probability</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p>Set the desired probability of choosing at least one sample free from outliers. </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramname">probability</td><td>the desired probability of choosing at least one sample free from outliers </td></tr>
  </table>
  </dd>
</dl>
<dl class="section note"><dt>注解</dt><dd>internally, the probability is set to 99% (0.99) by default. </dd></dl>
<div class="fragment"><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;{ <a class="code" href="classpcl_1_1cuda_1_1_sample_consensus.html#a4615fb95aea920a5f167f1db3a9dc2a8">probability_</a> = probability; }</div>
</div><!-- fragment -->
</div>
</div>
<hr/>该类的文档由以下文件生成:<ul>
<li>cuda/sample_consensus/include/pcl/cuda/sample_consensus/<a class="el" href="cuda_2sample__consensus_2include_2pcl_2cuda_2sample__consensus_2sac_8h_source.html">sac.h</a></li>
</ul>
</div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
  <ul>
    <li class="navelem"><b>pcl</b></li><li class="navelem"><b>cuda</b></li><li class="navelem"><a class="el" href="classpcl_1_1cuda_1_1_sample_consensus.html">SampleConsensus</a></li>
    <li class="footer">制作者 <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.9.1 </li>
  </ul>
</div>
</body>
</html>
